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Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser

Satellites have many high-, medium-, and low-frequency micro vibration sources that lead to the optical axis jitter of the optical load and subsequently degrade the remote sensing image quality. To address this problem, this paper developed an image motion detection and restoration method based on a...

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Autores principales: Yue, Ronggang, Wang, Humei, Jin, Ting, Gao, Yuting, Sun, Xiaofeng, Yan, Tingfei, Zang, Jie, Yin, Ke, Wang, Shitao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150293/
https://www.ncbi.nlm.nih.gov/pubmed/34064578
http://dx.doi.org/10.3390/s21103309
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author Yue, Ronggang
Wang, Humei
Jin, Ting
Gao, Yuting
Sun, Xiaofeng
Yan, Tingfei
Zang, Jie
Yin, Ke
Wang, Shitao
author_facet Yue, Ronggang
Wang, Humei
Jin, Ting
Gao, Yuting
Sun, Xiaofeng
Yan, Tingfei
Zang, Jie
Yin, Ke
Wang, Shitao
author_sort Yue, Ronggang
collection PubMed
description Satellites have many high-, medium-, and low-frequency micro vibration sources that lead to the optical axis jitter of the optical load and subsequently degrade the remote sensing image quality. To address this problem, this paper developed an image motion detection and restoration method based on an inertial reference laser, and describe edits principle and key components. To verify the feasibility and performance of this method, this paper also built an image motion measurement and restoration system based on an inertial reference laser, which comprised a camera (including the inertial reference laser unit and a Hartmann wavefront sensor), an integrating sphere, a simulated image target, a parallel light pope, a vibration isolation platform, a vibration generator, and a 6 degrees of freedom platform. The image restoration principle was also described. The background noise in the experiment environment was measured, and an image motion measurement accuracy experiment was performed. Verification experiments of image restoration were also conducted under various working conditions. The experiment results showed that the error of image motion detection based on the inertial reference laser was less than 0.12 pixels (root mean square). By using image motion data to improve image quality, the modulation transfer function (MTF) of the restored image was increased to 1.61–1.88 times that of the original image MTF. The image motion data could be used as feedback to the fast steering mirror to compensate for the satellite jitter in real time and to directly obtain high-quality images.
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spelling pubmed-81502932021-05-27 Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser Yue, Ronggang Wang, Humei Jin, Ting Gao, Yuting Sun, Xiaofeng Yan, Tingfei Zang, Jie Yin, Ke Wang, Shitao Sensors (Basel) Communication Satellites have many high-, medium-, and low-frequency micro vibration sources that lead to the optical axis jitter of the optical load and subsequently degrade the remote sensing image quality. To address this problem, this paper developed an image motion detection and restoration method based on an inertial reference laser, and describe edits principle and key components. To verify the feasibility and performance of this method, this paper also built an image motion measurement and restoration system based on an inertial reference laser, which comprised a camera (including the inertial reference laser unit and a Hartmann wavefront sensor), an integrating sphere, a simulated image target, a parallel light pope, a vibration isolation platform, a vibration generator, and a 6 degrees of freedom platform. The image restoration principle was also described. The background noise in the experiment environment was measured, and an image motion measurement accuracy experiment was performed. Verification experiments of image restoration were also conducted under various working conditions. The experiment results showed that the error of image motion detection based on the inertial reference laser was less than 0.12 pixels (root mean square). By using image motion data to improve image quality, the modulation transfer function (MTF) of the restored image was increased to 1.61–1.88 times that of the original image MTF. The image motion data could be used as feedback to the fast steering mirror to compensate for the satellite jitter in real time and to directly obtain high-quality images. MDPI 2021-05-11 /pmc/articles/PMC8150293/ /pubmed/34064578 http://dx.doi.org/10.3390/s21103309 Text en © 2021 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
spellingShingle Communication
Yue, Ronggang
Wang, Humei
Jin, Ting
Gao, Yuting
Sun, Xiaofeng
Yan, Tingfei
Zang, Jie
Yin, Ke
Wang, Shitao
Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title_full Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title_fullStr Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title_full_unstemmed Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title_short Image Motion Measurement and Image Restoration System Based on an Inertial Reference Laser
title_sort image motion measurement and image restoration system based on an inertial reference laser
topic Communication
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8150293/
https://www.ncbi.nlm.nih.gov/pubmed/34064578
http://dx.doi.org/10.3390/s21103309
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